Office: Biology 330
Phone: (970) 491-2679
Curriculum Vitae: https://drive.google.com/open?id=0ByZHFvdNdVg_allHWS05amo4a0k
Google Scholar: https://scholar.google.com/citations?user=49ebnuwAAAAJ&hl=en
- Ph.D., Ecology & Evolutionary Biology, Cornell University
- Postdoctoral Scholar, Dept. of Geosciences, Princeton University
Joe von Fischer is a professor in the Department of Biology who studies the human and natural forces that give the atmosphere its greenhouse gas composition. One lobe of research examines soil microbial processes that metabolize carbon dioxide, nitrous oxide and methane, seeking new insights into the greenhouse gas emissions by ecosystems from tropical forests in Panama to the Arctic tundra in Alaska. A second lobe of research emerged as Joe's group partnered with Environmental Defense Fund and Google to deploy a new generation of highly sensitive methane analyzers on Google Street View cars around the US. This novel approach has been used by natural gas utilities to better map the size and location of natural gas leaks in 15 US cities, including New York, Chicago and Los Angeles. Joe's group continues to research innovations in this technology and the way that utilities adopt technologies.
An open source algorithm to detect natural gas leaks from mobile methane survey data PLOS ONE, 2, 2019.
Estimation of methane emissions from the US ammonia fertilizer industry using a mobile sensing approach ELEMENTA-SCIENCE OF THE ANTHROPOCENE, 2019.
Nitrogen Dynamics in an Established Alfalfa Field under Low Biochar Application Rates Soil Systems, 4, 2019.
Rapid nitrogen fixation by canopy microbiome in tropical forest determined by both phosphorus and molybdenum ECOLOGY, 9, 2019.
A meta-analysis of temperature sensitivity as a microbial trait GLOBAL CHANGE BIOLOGY, 9, 2018.
Impacts of Moisture, Soil Respiration, and Agricultural Practices on Methanogenesis in Upland Soils as Measured with Stable Isotope Pool Dilution Soil Biology & Biochemistry , 2018.
Vehicle-Based Methane Surveys for Finding Natural Gas Leaks and Estimating Their Size: Validation and Uncertainty ENVIRONMENTAL SCIENCE & TECHNOLOGY, 20, 2018.
A calibration capture--recapture model for inferring natural gas leak population characteristics using data from Google Street View cars Environmetrics, 7, 2018.
Mountain Peatlands Range from CO2 Sinks at High Elevations to Sources at Low Elevations: Implications for a Changing Climate ECOSYSTEMS, 2, 2017.
Rapid, Vehicle-Based Identification of Location and Magnitude of Urban Natural Gas Pipeline Leaks ENVIRONMENTAL SCIENCE & TECHNOLOGY, 7, 2017.